Nan Xiao

575 citations
21 papers · 435 indexed · h-index 9
Topics
Spam and Phishing Detection (4 papers)Information and Cyber Security (4 papers)Digital Marketing and Social Media (4 papers)

In The Last Decade

Nan Xiao

18 papers receiving 412 citations

Peers

Nan Xiao
Comparison fields: 5 of 89
  • Sociology and Political Science 206
  • General Health Professions 142
  • Information Systems and Management 90
  • Health 71
  • Information Systems 60
Replace Tailai Wu with:
Tailai Wu China
Ziying Hong China
Gayle Prybutok United States
Trent J. Spaulding United States
Junjie Zhou China
Fanbo Meng China
Tala Mirzaei United States
Christos Melas Greece
Yong Jeong Yi South Korea
Nan Xiao relative to Tailai Wu China Tailai Wu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nan Xiao

Since Specialization
Citations

This map shows the geographic impact of Nan Xiao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nan Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Xiao more than expected).

Fields of papers citing papers by Nan Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nan Xiao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nan Xiao. The network helps show where Nan Xiao may publish in the future.

Co-authorship network of co-authors of Nan Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Xiao. A scholar is included among the top collaborators of Nan Xiao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nan Xiao. Nan Xiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 11
4 0
5 0
6 31
7 17
8
Think and Act Positively: A Motivational Organizational Citizenship Behavior Approach Towards Information Security Policy Compliance
1
9 4
10 3
11 1
12 18
13 11
14 15
15 277
16 19
17 15
18
A Simulation Based Study in a Hospital Emergency Department: Capacity and Workflow Issues
4
19
Infastructure Interdependencies Modeling and Analysis - A Review and Synthesis
4
20 1

About Nan Xiao

Nan Xiao is a scholar working on Management Information Systems, Emergency Medical Services and Information Systems, having authored 21 papers that have together received 435 indexed citations. Recurring topics across this work include Spam and Phishing Detection (4 papers), Information and Cyber Security (4 papers) and Digital Marketing and Social Media (4 papers). The work is most often cited by research in Information Systems and Management (90 citations), Health (71 citations) and Communication (50 citations). Nan Xiao has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Hengyi Rao, Raj Sharman, Shambhu Upadhyaya, Jingguo Wang, H. Raghav Rao, Chul Woo Yoo, Sibin Wu, Jaeung Lee, Ke Li and Jing Zhang. Their work appears in journals such as Information & Management, Information Systems Research and Decision Support Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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